CNI Spring 2022 Membership Meeting
Virtual Event: March 21-22, 2022

Machine Learning, Text Summarization, and Optimizing Scholarship for Citizen Audiences and Discovery

Jason A. Clark, Lead for Research Informatics, Montana State University
Leila Sterman, Scholarly Communication Librarian, Montana State University

Due to technical difficulties during the original, live session, the speakers elected to re-record their presentation for post-meeting distribution. This video is not the original presentation, but a recording made by the speakers after the live, virtual event had concluded.

Open access allows digital/physical access to scholarship, but the story of scholarship and the accessibility of research concepts and ideas remains out of reach for some non-disciplinary-expert audiences. In turn, as the scholarly profile has emerged as a digital resume, marketing tool, and ledger, librarians have found a role as promoters and guides in the process of setting up, maintaining, disambiguating, and translating research for diverse audiences. In recognizing our translational roles in research communication, our project team worked to build readable, accessible scholarship for public understanding and for the facilitation of interdisciplinary scholarship and partnerships. The first part of this work involved surveying and learning about summarization practices of academics and discerning how to perhaps create a "snapshot" of a scholarly article (a concise and readable summarization of the thesis, methods, findings, and major figures of an article) for a broad reading audience. We collected information regarding how or if authors currently seek to provide access to their research, their goals in doing so, and any barriers that they faced in the process. This survey data provided a foundation for the development of two new deliverables: a text summarization procedure for automating the snapshot article, and an implementation of the markup and structured data to encode the snapshot article for machine-readability and harvesting. This session will report on survey findings about how authors promote and summarize their research, demonstrate how these findings inform the creation of snapshot articles for humanities and STEM audiences, and share how machine learning processes for abstractive summarization aid in access to scholarship for citizens and machines.

github.com/msulibrary/msu-article-summarization

cni.org/topics/assessment/machine-learning-text-summarization-and-optimizing-scholarship-for-citizen-audiences-and-discovery

Coalition for Networked Information (CNI) CNI Spring 2022 Membership Meeting
Virtual Event: March 21-22, 2022
In-Person Event: March 28-29, 2022
cni.org/mm/spring-2022

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Coalition for Networked Information

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Videos related to the Coalition for Networked Information (CNI) and CNI Executive Director Clifford Lynch. This channel includes recordings of project briefings (presentations) and plenary sessions from CNI's membership meetings as well as other material.

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Videos related to the Coalition for Networked Information (CNI) and CNI Executive Director Clifford Lynch. This channel includes recordings of project briefings (presentations) and plenary sessions from CNI's membership meetings as well as other material.

About CNI:
The Coalition for Networked Information (CNI) is an organization dedicated to supporting the transformative promise of networked information technology for the advancement of scholarly communication and the enrichment of intellectual productivity. Some 200 institutions representing higher education, publishing, network and telecommunications, information technology, and libraries and library organizations make up CNI's members. More about CNI is at cni.org.

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